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Lecture
Minima et maxima de fonctions
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Related lectures (37)
Understanding Microcontrollers: Functions
Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.
Definitions and Notations
MOOC: Analysis I (part 1): Prelude, basic concepts, real numbers
MOOC: Analysis I
Covers the definitions and notations related to functions.
Differentiating under the integral sign
Explores differentiating under the integral sign and continuity of functions in integrals.
Demonstration of Theorem
MOOC: Analysis I
MOOC: Analysis I (part 5): Continuous and derivable functions, the derivative function
Covers the demonstration of a theorem using mathematical expressions and hypotheses.
Convexity Criteria
MOOC: Analysis I
MOOC: Analysis I (part 6) : Study of functions, limited developments
Covers the study of functions, focusing on convexity criteria within closed subintervals.
The Two Gendarmes Theorem for Functions
MOOC: Analysis I
MOOC: Analysis I (part 4) : Limit of a function, continuous functions
Covers the Two Gendarmes Theorem for functions and their limits.
R Programming: Conditions, Loops, Functions & Graphics
Covers conditions, loops, functions, and graphics in R programming with practical examples.
Limits of Functions: Calculus Methods
Explores the concept of limits of functions of several variables and methods for calculation, including criteria based on convergent sequences and the 'two gendarmes' theorem.
Products and Convolution of Transforms
Covers the definition and properties of convolution of two functions and explores radioactive material decay rates.
Theorem of Generalized Mean Value: Study of Functions
MOOC: Analysis I
MOOC: Analysis I (part 6) : Study of functions, limited developments
Explores the conditions for continuity and differentiability of functions on a closed interval.
Local Extrema of Functions
Discusses local extrema of functions in two variables around the point (0,0).
Programming Fundamentals: Functions
Introduces Python programming basics, focusing on functions to enhance code efficiency.
Application to Recurrence Defined Sequences
MOOC: Analysis I
MOOC: Analysis I (part 5): Continuous and derivable functions, the derivative function
Covers the application of functions defined by recurrence to sequences and the theorem of the fixed point.
Real Functions: Definitions and Properties
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Explores real functions, covering parity, periodicity, and polynomial functions.
Functions and Periodicity
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Covers functions, including even and odd functions, periodicity, and function operations.
Implicit Functions Theorem
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Covers the Implicit Functions Theorem, explaining how equations can define functions implicitly.
Partial Derivatives: Definitions and Examples
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Covers the concept of partial derivatives and their applications in mathematical analysis.
Entropy and the Second Law of Thermodynamics
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Covers entropy, its definition, and its implications in thermodynamics.
Python Crash Course
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Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Optimization: Lagrange Multipliers
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Covers the method of Lagrange multipliers to find extrema subject to constraints.
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